Shangyu Luo

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 15

Top Topics

Relational Database Systems

Machine Learning

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Jason Sun, Haoxiang Ma, Li Zhang, Huicong Liu, Haiyang Shi, Shangyu Luo, Kai Wu, Kevin Bruhwiler, Cheng Zhu, Yuanyuan Nie, Jianjun Chen, Lei Zhang, Yuming Liang
Accelerating Cloud-Native Databases with Distributed PMem Stores. ICDE (2023)
Jianjun Chen, Yonghua Ding, Ye Liu, Fangshi Li, Li Zhang, Mingyi Zhang, Kui Wei, Lixun Cao, Dan Zou, Yang Liu, Lei Zhang, Rui Shi, Wei Ding, Kai Wu, Shangyu Luo, Jason Sun, Yuming Liang
ByteHTAP: ByteDance's HTAP System with High Data Freshness and Strong Data Consistency. Proc. VLDB Endow. 15 (12) (2022)
Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine
Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. Proc. VLDB Endow. 14 (7) (2021)
Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference (2021)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine
Scalable linear algebra on a relational database system. Commun. ACM 63 (8) (2020)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. 49 (1) (2020)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. 12 (7) (2019)
Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR (2019)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. SIGMOD Rec. 47 (1) (2018)
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. SIGMOD Conference (2018)
Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine
The BUDS Language for Distributed Bayesian Machine Learning. SIGMOD Conference (2017)
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning. CIDR (2017)
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. CoRR (2017)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. ICDE (2017)
Zhuhua Cai, Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Zografoula Vagena, Christopher M. Jermaine
A comparison of platforms for implementing and running very large scale machine learning algorithms. SIGMOD Conference (2014)
Ian R. Lane, Vinay Prasad, Gaurav Sinha, Arlette Umuhoza, Shangyu Luo, Akshay Chandrashekaran, Antoine Raux
HRItk: The Human-Robot Interaction ToolKit Rapid Development of Speech-Centric Interactive Systems in ROS. SDCTD@NAACL-HLT (2012)